How it Works

INTEGRATED WITH GITHUB

MODELS RUN ON BENCHMARKS

Free GPUs to run your code on public benchmarks

COMPARED TO PAPERS

Results compared to papers to test reproducibility

How to Add Your Repository

Step One : Evaluate Locally

Each public benchmark has its own instructions on how to use.
For example, to use the Image Classification on ImageNet benchmark
on your model in a framework-independent way, create a
sotabench.py file like this: